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Update Pretrained Model Listing - 2023-10-18 18:11:34 #322

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Oct 19, 2023
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1 change: 1 addition & 0 deletions CHANGELOG.md
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@ Inspired from [Keep a Changelog](https://keepachangelog.com/en/1.0.0/)
- Update model upload history - sentence-transformers/distiluse-base-multilingual-cased-v1 (v.1.0.1)(TORCH_SCRIPT) by @dhrubo-os ([#281](https://github.com/opensearch-project/opensearch-py-ml/pull/281))
- Update pretrained_models_all_versions.json (2023-09-14 10:28:41) by @dhrubo-os ([#282](https://github.com/opensearch-project/opensearch-py-ml/pull/282))
- Enable the model upload workflow to add model_content_size_in_bytes & model_content_hash_value to model config automatically @thanawan-atc ([#291](https://github.com/opensearch-project/opensearch-py-ml/pull/291))
- Update pretrained_models_all_versions.json (2023-10-18 18:11:34) by @dhrubo-os ([#322](https://github.com/opensearch-project/opensearch-py-ml/pull/322))

### Fixed
- Enable make_model_config_json to add model description to model config file by @thanawan-atc in ([#203](https://github.com/opensearch-project/opensearch-py-ml/pull/203))
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Expand Up @@ -114,25 +114,26 @@
}
},
{
"name": "huggingface/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"name": "huggingface/sentence-transformers/paraphrase-mpnet-base-v2",
"versions": {
"1.0.1": {
"1.0.0": {
"format": [
"onnx",
"torch_script"
],
"description": "This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search."
"description": "This is a sentence-transformers model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search."
}
}
},
{
"name": "amazon/neural-sparse/opensearch-neural-sparse-encoding-doc-v1",
"name": "huggingface/sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2",
"versions": {
"1.0.0": {
"1.0.1": {
"format": [
"onnx",
"torch_script"
],
"description": "This is a neural sparse encoding model: It transfers text into sparse vector, and then extract nonzero index and value to entry and weights. It serves only in ingestion and customer should use tokenizer model in query."
"description": "This is a sentence-transformers model: It maps sentences & paragraphs to a 384 dimensional dense vector space and can be used for tasks like clustering or semantic search."
}
}
}
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